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作 者:赵军龙[1] 巩泽文[1] 李甘[1] 冯春艳[2] 白旭[3] 蹇军[3] 傅波[3] 红岩[2]
机构地区:[1]西安石油大学,油气资源学院,陕西西安710065 [2]长庆油田分公司第二采油厂,庆城745100 [3]长庆油田分公司第三采油厂,银川750006
出 处:《地球物理学进展》2012年第2期537-547,共11页Progress in Geophysics
基 金:陕西省教育厅科研计划项目资助(项目编号:11JK0781)资助
摘 要:由于碳酸盐岩裂缝发育机制的复杂性,开展碳酸盐岩裂缝性储层的识别与评价一直是测井分析的热点和难点.本文基于大量文献调研,梳理了碳酸盐岩裂缝的定义、成因和分类,系统归纳了碳酸盐岩裂缝性储层的测井响应特征及评价方法,并进行了实例分析.研究表明,常规测井方法对碳酸盐岩裂缝均有不同程度的揭示,基于不同原理的常规测井方法对碳酸岩盐裂缝的响应程度差异显著,利用常规测井方法对碳酸岩盐储层裂缝识别应遵循综合识别原则;碳酸盐岩裂缝成像测井识别方法中,电阻率成像测井、偶极声波测井和核磁共振测井反映裂缝较为直观,但成本高;基于常规测井资料的灰色关联识别方法、神经网络识别方法、小波多尺度识别方法等非线性数学方法,弥补了常规测井和成像测井识别碳酸盐岩裂缝的不足,并且取得较好的应用效果.Due to the complexity of the developmental mechanisms of fractured carbonate rocks,the identification and evaluation of the fractured carbonate reservoir have always been a heated topic as well as a difficult one for analyzing log.Based on extensive literature review,this paper systematically analyzed the definition,causes of formation and categories of carbonate fracture summarized the characteristics of logging response and evaluation approaches of the fractured carbonate reservoir,and carried out a case study.The result indicated that for the fractured carbonate reservoir,the effect of the conventional logging approaches varies.The degree of responses to the fractured carbonate reservoir made by the conventional logging approaches with distinctive working operating principles differed considerably.The identification of the fractured carbonate reservoir by using the conventional logging approaches should follow the synthesized identification principle.Among the identification approaches of the fractured carbonate reservoir imaging logging,three of them,namely resistivity imaging logging,dipole acoustic logging and nuclear magnetic resonance logging,are comparatively capable to clearly reflect the fractures,but the cost is high.These problems have been solved by the well-applied nonlinear Mathematical approaches with the conventional logging materials as their basis,such as the gray correlation recognition approach,neural network Identification approach,wavelet multiscale identification approach and so on.
分 类 号:P631[天文地球—地质矿产勘探]
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